Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong in Meta-RL (Beck et al., 2023)
☆21Jul 31, 2024Updated 2 years ago
Alternatives and similar repositories for hyper
Users that are interested in hyper are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆31Dec 15, 2025Updated 9 months ago
- ☆16Aug 2, 2022Updated 4 years ago
- ☆13May 21, 2023Updated 3 years ago
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Nov 23, 2021Updated 4 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Nov 24, 2025Updated 10 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An Open-Ended Agentic Simulator☆61Aug 11, 2024Updated 2 years ago
- solving ml10☆27Nov 10, 2023Updated 2 years ago
- Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).☆28May 19, 2025Updated last year
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆25Oct 21, 2025Updated 11 months ago
- ☆15Feb 22, 2023Updated 3 years ago
- ☆13Jan 5, 2024Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆205Mar 15, 2023Updated 3 years ago
- Simple Successor Features☆20Jul 15, 2025Updated last year
- Code for Scalable Offline Model-Based RL with Action chunking☆35Feb 20, 2026Updated 7 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆11Feb 28, 2023Updated 3 years ago
- Code for the paper Hierarchical WaveFunction Collapse (AIIDE 2023)☆15Mar 24, 2024Updated 2 years ago
- Simple JAX Graphics Library.☆39Nov 3, 2024Updated last year
- Meta-RL Model-Based Algorithm☆46Apr 30, 2025Updated last year
- Real-Time RTUs☆13Mar 20, 2026Updated 6 months ago
- PyTorch implementation for our paper "Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation"☆14Apr 19, 2023Updated 3 years ago
- Partially Observable Benchmarks in JAX☆29Apr 30, 2026Updated 5 months ago
- [ICRA'25] H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps☆13Apr 10, 2025Updated last year
- ☆10Jun 27, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Generative cellular automaton-like learning environments for RL.☆20Jan 30, 2025Updated last year
- Combining NEAT and novelty search to quickly generate diverse video game levels (GECCO 2022). https://arxiv.org/abs/2204.06934☆16Oct 4, 2022Updated 4 years ago
- In this repo, GA, SA, and PSO algorithms are implemented to solve Job-shop Scheduling Problem(JSP) and Flexible Job-shop Scheduling Probl…☆36Oct 22, 2024Updated last year
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆344Dec 16, 2025Updated 9 months ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆69May 8, 2023Updated 3 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆12Dec 7, 2021Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Nov 10, 2020Updated 5 years ago
- A2C for GVG-AI☆22Nov 7, 2018Updated 7 years ago
- ☆16Jul 13, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Population Based Training of Petri Dish Neural Cellular Automata☆18Apr 14, 2026Updated 5 months ago
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆107Jan 23, 2025Updated last year
- Unsupervised Deep Learning and Representation Learning Tutorial☆13Feb 16, 2016Updated 10 years ago
- A variant of Varibad that is robust to difficult tasks☆11Aug 30, 2023Updated 3 years ago
- Example implemention of the Proximal Policy Optimization algorithm☆18Jul 25, 2024Updated 2 years ago
- ☆15Aug 20, 2023Updated 3 years ago
- Implement model predictive control on a physics-based battery model for minimizing charging time while maximizing lifetime.☆11Apr 4, 2023Updated 3 years ago